// SIGNAL PROCESSING

AI-01

Find any operational data within milliseconds.

A single structural database to index your texts, images, videos, and audio files. Skip manual sorting: our AI instantly connects and parses all cross-modal feeds.

Aeluin Multimodal Indexing
// IMMEDIATE_CROSS_MODAL_SEARCH

Multimodal Indexing

01

Step 1: Universal Feed Centralization

Text documents, voice logs, camera streams, and field images are instantly parsed into lightweight mathematical vectors stored inside a single high-speed database.

Step 1: Universal Feed Centralization
02

Step 2: Dynamic Cross-Modal Queries

Input a basic text description to fetch a precise photo target, or upload an audio voice sample to isolate its corresponding video clip. The calculation updates in under 5 milliseconds.

Step 2: Dynamic Cross-Modal Queries
// TECHNICAL ARCHITECTURE

Infrastructure Sovereignty & Flexibility

Deployable anywhere, without third-party cloud dependencies, ensuring absolute containment for your critical operational data.

DAT

On-Premise / Datacenter

Ideal for massive multi-terabyte ingestion of archived videos and centralized communication feeds leveraging peak compute parameters.

EDG

Tactical Field Deployment (Edge AI)

The model compiles natively on low-power architectures directly embedded into tactical hardware sensors, bypassing internet prerequisites.

Once your data streams are cataloged, the engine refocuses its tracking capability to detect and identify individual profiles with absolute reliability.

// MAGNIFACE_CRITICAL_EXTRACTOR

Facial Recognition

MRL Layers Definition
// CIVIL APPLICATIONS

Crisis Management & Critical Sites

Access control security for high-risk industrial utilities, rapid search for missing persons inside transit hubs, and instantaneous cataloging of emergency media feeds.

// SECURITY & DEFENSE

Tactical Reconnaissance & OSINT

Target verification through tactical drone operations, high-speed processing of open-source intelligence assets, and accurate matching across broken adversarial videos.

// EMBEDDED PERFORMANCE

Compute Specifications

CONFIGURATIONEXTRACTION TIMEALLOCATED MEMORYACCURACY (TAR)
Edge Node (Aeluin On-Chip)< 3.8 ms128 MB99.64%
Centralized Server (Standard GPU)< 1.2 ms512 MB99.88%
// SYSTEM SYNERGY

The eye of Aeluin, deployed in mid-air.

Our tactical unmanned systems from the Ringil family utilize these identical mathematical embedding matrix frameworks to instantly parse terrain metrics and track fast-moving assets.